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基于EKF的感应电动机无速度传感器调速系统改进研究 被引量:1

Research on Advanced Speed Sensorless Control System of Induction Motor Based on EKF
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摘要 根据M-T同步旋转坐标系感应电动机转子T轴磁链为零的性质,设计了在M-T坐标系下,基于扩展卡尔曼滤波器(EKF)算法来实现对感应电动机的转速观测系统。较传统的α-β静止坐标系下转速估算法,改进的方法降低了系统的阶次,大大简化了转速估算中的迭代过程。同时在Matlab/Simulink环境下建立了无速度传感器矢量调速系统,对感应电动机不同运行状态下的速度估算进行仿真,仿真结果表明,该系统具有较强的抗噪声干扰能力和优良的动、静态性能。 With the character that the M-axis flux is equal to zero in synchronous circumrotatory reference, a new method based on the theory of extended Kalman filter(EKF) was used to construct a speed sensorless control system of induction motor. Compared with the traditional method of observing speed in α-β stable reference, the adopted method degraded the dimensions of induction motor and eased the calculating process. Simulation results show that the newly designed system has a better static and dynamic performance and higher capability to eliminate noise disturbance.
机构地区 空军工程大学
出处 《微特电机》 北大核心 2009年第8期33-35,38,共4页 Small & Special Electrical Machines
关键词 感应电动机 无速度传感器 扩展卡尔曼滤波器 调速 仿真 induction motor speed sensorless extended Kalman filter speed control simulation
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